code: def _all_tfds_datasets() -> List[str]:
      """Returns all "official" TFDS dataset names."""
      datasets = []
      for name in tfds.list_builders(with_community_datasets=True):
          if name in _BUILDER_BLACKLIST:
              continue
          try:
              _ = tfds.core.naming.parse_builder_name_kwargs(name=name)
              datasets.append(name)
          except ValueError as e:
              logging.error(
                  "Could not parse dataset with name `%s`!",
                  name,
                  exc_info=e,
              )
      return sorted(datasets)
  
imports: from concurrent import futures
  import dataclasses
  import functools
  from typing import Any, Iterator, List, Optional, Set, Type
  from absl import logging
  import tensorflow_datasets
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  from tensorflow_datasets.scripts.documentation import collection_markdown_builder
  from tensorflow_datasets.scripts.documentation import dataset_markdown_builder
  from tensorflow_datasets.scripts.documentation import doc_utils
  import tqdm
label_desc: Use image node_id 11 for calling a global function with example usage: _all_tfds_datasets() and returns: sorted